Find Academic Supervisors

Tianqi HongView profile

Assistant Professor

• Power Systems
• Power Electronics
• Renewable Energy Integration
• +4 more

Dr. Tianqi Hong is an Assistant Professor at the University of Georgia, affiliated with the School of Electrical & Computer Engineering and the Department of Electrical and Computer Engineering. He holds a B.Sc. from Hohai University (2011), an M.Sc. from Southeast University and NYU (201?), and a Ph.D. from NYU (2016). Prior to his academic role, he served as a Principal Energy System Scientist at Argonne National Laboratory and a Senior Research Scientist at Unique Technical Services, LLC. His research focuses on power systems, power electronics, renewable energy integration, and AI-driven solutions for smart grids. Dr. Hong’s work emphasizes cybersecurity for power infrastructure, nonlinear dynamics in microgrids, and advanced control strategies. He actively contributes to IEEE Transactions across multiple journals and chairs the IEEE IAS Industrial Power Converters Committee. His recent publications address topics like AI-based photovoltaic inverter modeling, cyberattack mitigation in smart grids, and voltage regulation using distributed optimization. He has authored over 60 peer-reviewed articles, spanning from 2014 to 2025, with a focus on energy system stability, renewable integration challenges, and data-driven methodologies. His professional service includes editorial roles in top-tier journals and leadership in industry-research collaborations.

Sajib ChakrabortyView profile

Researcher

• Power Electronics
• Electric Vehicles
• Battery Management Systems (BMS)
• +3 more

Sajib Chakraborty is a Researcher at the MOBI - Electromobility Research Centre and the Department of Electrical Engineering and Power Electronics. His research focuses on condition monitoring, reliability assessment of power electronic systems, and advanced battery management systems (BMS). He has contributed to projects like HARPOONERS and FLEXMCS, aiming to optimize electric powertrain systems and vehicle-to-grid technologies. His work spans over 80 research outputs since 2018, with a strong emphasis on multi-objective optimization, physics-of-failure modeling, and digital twin technologies for electric vehicles. Collaborations include institutions in Europe and beyond, addressing challenges in renewable energy integration and high-voltage electric mobility. Advised 5 Master's theses on topics like DC-DC converter design and SiC MOSFET reliability. Active in editorial roles for IEEE Transactions on Transportation Electrification . Led projects funded by EU grants, totaling € multi-million investments. Key research themes include battery thermal management, EV charging infrastructure, and multi-physics modeling for power electronics reliability.

Harish Sarma KrishnamoorthyView profile

Associate Professor

• High-density power converters
• Solid-state transformers
• Power electronics for renewable energy integration
• +3 more

Dr. Harish Sarma Krishnamoorthy serves as Associate Professor in the Department of Electrical and Computer Engineering at the University of Houston, College of Engineering. He holds concurrent roles as Associate Director of the PEMSEC Consortium and Associate Editor of IEEE Transactions on Power Electronics. Ph.D. in Electrical and Computer Engineering (2015), Texas A&M University B.Tech. in Electrical and Electronics Engineering (2008), National Institute of Technology Tiruchirappalli, India His research focuses on high-density power conversion systems with particular emphasis on solid-state transformers for renewable energy integration, machine learning-driven health analytics for power electronics, and converter solutions for extreme environments in aerospace, defense, and subsea applications. Current projects include NSF CAREER-funded work on Edge Intelligence for power converters and DOE ARPA-E OPEN 2021 Mini-PulPS initiative for pulsed power systems. Recent publications highlight advancements in GaN HEMT reliability testing, resonant circuit breaker topologies, and multiport energy routers for hybrid renewable-oil & gas systems. His work spans converter design for 5G communication, NMR metrology, and electric aircraft propulsion architectures. NSF CAREER Award recipient (2023) IEEE PELS Young Professional Exceptional Service Award OTC Emerging Leader recognition (2022) GE 6-Sigma Green Belt Certification Best Presentation Awards at IEEE APEC He teaches graduate courses on power converters, modeling, and renewable energy systems while leading industry-funded research programs with applications in electric vehicles, data centers, and offshore energy systems.

Regan ZaneView profile

Professor

• Power Electronics
• Transportation Electrification
• Battery Management Systems
• +3 more

Regan Zane is the David G. and Diann L. Sant Endowed Professor in the Department of Electrical and Computer Engineering at Utah State University. His research focuses on high-efficiency power converters for transportation electrification, battery systems, and microgrid applications. PhD, MS, BS in Electrical Engineering, University of Colorado Boulder IEEE Fellow and recipient of 15+ scientific awards including NSF CAREER and IEEE Bass Award Recent work emphasizes dynamic wireless charging for electric vehicles, second-life battery reconditioning , and high-frequency converter design . Publications span topics in ZVS analysis, resonant topologies, and grid-integrated systems. Key awards include: 2020 Utah Clean Cities Sustainability Partner of the Year 2019 Utah Innovation Award in Clean Technology 2008 IEEE Richard M. Bass Outstanding Young Engineer Mentored 20+ graduate students in power electronics and electrified transportation projects. Led development of USU's EVR Research Facility and contributed to DARPA/MIT collaborations on solid-state hydraulic systems.

Hayrettin KarayakaView profile

Professor

• Renewable and Clean Energy
• Electric Power Systems
• Smart Grid Technology
• +3 more

Hayrettin Karayaka is a Professor in the Department of Electrical Engineering at the College of Engineering and Technology, Western Carolina University. He leads initiatives to establish electric power engineering as a formal discipline within the institution, focusing on outreach, curriculum development, and recruitment. His research emphasizes renewable energy systems, smart grid technologies, and engineering education innovation. Dr. Karayaka holds a PhD in Electrical Engineering from The Ohio State University and prior industry experience in smart grid and wireless communication sectors. Education: PhD, Electrical Engineering, The Ohio State University MS, Control Systems/Electrical Engineering, Istanbul Technical University BS, Control Systems/Electrical Engineering, Istanbul Technical University Research Focus: Renewable Energy Integration (wave, nuclear, solar) Smart Grid Optimization and Control Advanced Energy Storage Solutions Engineering Education Methodologies His work combines machine learning applications with traditional engineering principles to enhance energy system efficiency and sustainability. Key Projects: Nuclear workforce development programs Mobile lab initiatives for sustainability education Wave energy converter hardware-in-the-loop simulations

• Industrial Design
• Product Development
• Additive Manufacturing
• +9 more

Pablo José Fernández Galdo is a faculty member at the University of A Coruña, affiliated with the University College of Industrial Design and the Department of Civil Engineering. His expertise lies in Engineering Projects, with a strong focus on industrial design, product development, and additive manufacturing. He is an active member of the research group 'Observatorio para el diseño e innovación en movilidad, medios de transporte y automoción', contributing to innovation in transportation and mobility systems. His research interests span Industrial Design , Product Development , Additive Manufacturing , Automotive Design , Urban Furniture , and Smart Mobility . He emphasizes design methodology, sustainability, and user-centered innovation, particularly in educational and real-world applications. His work integrates design with engineering principles to solve contemporary mobility challenges. The recent articles and project concepts reflect a strong trend toward future mobility , including autonomous vehicles, electric transportation, shared urban mobility, and habitat vehicles for sports tourism. Many projects are linked to industry collaborations, especially with SEAT/Cupra, indicating applied research with commercial relevance. There is a recurring focus on design for experience , adaptability , and innovation in public and personal spaces . He has supervised numerous final-year and master's theses, mentoring students in advanced design projects. His collaborative work includes publications in engineering education and service-learning practices, highlighting his commitment to pedagogical innovation. His research has been supported through various R&D contracts with entities such as Fundación PRODINTEC, TELEVES S.A., CTAG, and LOREFAR S.L., demonstrating strong industry engagement. He has contributed to books and journal articles, particularly in the domain of design education and applied engineering. He is involved in designing experimental projects, models, and prototypes, often in collaboration with students and other researchers. His work environment fosters innovation through hands-on workshops and real-world design challenges, especially in the context of sustainable and intelligent mobility solutions.

Aswad AdibView profile

Researcher

• Power Electronics
• Smart Grids
• Energy Systems
• +8 more

Aswad Adib is a researcher specializing in power electronics and smart grid technologies. He holds a B.Sc. and Ph.D. in Electrical Engineering from Bangladesh University of Engineering and Technology and Kansas State University, respectively. B.Sc., Electrical Engineering, Bangladesh University of Engineering and Technology Ph.D., Electrical Engineering, Kansas State University His career spans roles as a Software Engineer at Samsung R&D Institute Bangladesh and a Postdoctoral Fellow at Kansas State University. Currently, he serves as an R&D Associate Staff Member at Oak Ridge National Laboratory (ORNL) within the Grid Systems Architecture (GSA) group. His research focuses on modeling, advanced control strategies, and real-time simulation of grid-connected power electronic converters, particularly for microgrids, energy storage, and high-power charging systems. Analysis of his publications reveals a consistent focus on medium-voltage power electronics, renewable energy integration, and smart grid innovations, including megawatt-scale charging architectures, grid-forming hubs, and stability-enhancing inverter controls.

Bradford KnightView profile

Assistant Professor

• Naval Hydrodynamics
• Ocean Renewable Energy
• Computational Fluid Dynamics
• +5 more

Bradford Knight serves as an Assistant Professor in the Ocean Engineering Department at the University of Rhode Island, specializing in naval hydrodynamics and ocean renewable energy through advanced Computational Fluid Dynamics (CFD) and data-driven modeling techniques. His educational background includes: Ph.D. in Naval Architecture & Marine Engineering, University of Michigan (2021) M.S.E. in Aerospace Engineering, University of Michigan (2020) M.S.E. in Naval Architecture & Marine Engineering, University of Michigan (2018) B.S.E. in Aerospace Engineering, University of Michigan (2012) B.S.E. in Mechanical Engineering, University of Michigan (2012) Dr. Knight's research spans naval hydrodynamics, ocean renewable energy systems, vessel maneuvering/seakeeping dynamics, and hydrokinetic turbine optimization. He integrates machine learning with CFD to model complex fluid-structure interactions, particularly focusing on hull-propeller-rudder systems and marine energy converters under realistic flow conditions. Analysis of his 15 most recent publications (2022-2025) reveals evolving research trajectories: increasing emphasis on AI-enhanced hydrodynamic modeling (notably Gaussian process regression for propeller/rudder systems), multi-fidelity CFD frameworks for turbine optimization, and real-time wave forecasting systems. His work demonstrates consistent focus on practical marine applications while advancing computational methodologies for renewable energy and naval architecture. Dr. Knight actively recruits graduate students for research in computational marine hydrodynamics and renewable energy systems. His current projects involve hydrokinetic turbine design optimization, ship maneuvering simulation in waves, and novel energy harvesting systems, supported by computational infrastructure at URI's Narragansett Bay Campus.

• Power and Energy Systems
• Condition Monitoring
• Fault Diagnosis and Prognosis
• +5 more

Dr Xiandong Ma is a Reader in Power and Energy Systems at Lancaster University's School of Engineering, where he has been a faculty member since December 2008. His research focuses on intelligent condition monitoring and fault diagnosis of power systems, with particular expertise in wind energy systems and smart grid technologies. His educational background includes: BEng in Electrical Engineering from Jiangsu University (1986) MSc in Power Systems and Automation from Nanjing Automation Research Institute (1989) PhD in Partial Discharge based High-voltage Plant Condition Monitoring from Glasgow Caledonian University (2002) Dr Ma's research spans intelligent condition monitoring and fault diagnosis/prognosis of wind power systems and electrical assets, condition-based operations and maintenance of power and energy systems, modeling, optimization, and control of smart/micro grids with renewable energy resources, power conversion and renewable energy integration, and associated machine learning and AI technologies and digital twin solutions. His work bridges theoretical advances with practical engineering applications in the renewable energy sector. His recent publications demonstrate a strong focus on quantum machine learning applications for wind turbine monitoring, electric vehicle-grid integration challenges, wave energy conversion systems, and nuclear fuel inspection technologies. The research shows a clear trajectory toward more sophisticated AI-driven solutions for energy systems, with increasing emphasis on multi-physics modeling and cross-domain applications. Dr Ma has received several prestigious recognitions: Chartered Engineer Fellow of the Institution of Engineering and Technology (FIET) Fellow of the Higher Education Academy (FHEA) Member of EPSRC Peer Review College KTP Fellowship awarded by University of Technology Sydney (2018) Ranked in the world's top 2% scientists by Stanford University He actively supervises numerous PhD students and postdoctoral researchers, with current projects including the Leverhulme Trust-funded "Self-Aware Power Networks: Autonomous Operation at Scale" and several EPSRC-funded initiatives. Dr Ma has secured significant research funding and collaborates extensively with industry partners to translate research into practical applications. Dr Ma leads research within Lancaster's Energy research group, focusing on the integration of advanced sensing, AI, and control techniques for next-generation power and energy systems. His team works closely with industrial partners including ALSTOM Power and various renewable energy companies to develop innovative solutions for real-world energy challenges.

• Nuclear Engineering
• Radiation Monitoring
• Environmental Remediation
• +3 more

Dr. Yannick S R Verbelen is a Senior Research Associate at the University of Bristol, affiliated with the Interface Analysis Centre and the Cabot Institute for the Environment . With a PhD in nuclear engineering and materials science, his work bridges robotics, radiation monitoring, and environmental remediation. Education: MSc, PhD His research focuses on nuclear industrial archaeology , radiation detection using drones, and robotic systems for nuclear environments. Key projects include airborne gamma-ray mapping and LiDAR integration for uranium mine analysis. Recent publications highlight innovations in radiation mapping algorithms , betavoltaic recycling , and robotic inspection systems . His work has been recognized with a Superior Paper Rating in 2022. He collaborates across disciplines, contributing to datasets on Fukushima Daiichi analysis and Chernobyl exclusion zone mapping. His technical expertise spans UAV deployment , scintillator materials , and energy-harvesting systems .

Pourya ShamsiView profile

Associate Professor

• Power Electronics
• Smart Grids
• Microgrids
• +4 more

Pourya Shamsi serves as an Associate Professor in the Department of Electrical Engineering at Missouri University of Science and Technology, where he is affiliated with the Center for Intelligent Infrastructure. His research focuses on power electronics and smart grid technologies, with particular emphasis on DC-DC conversion systems and renewable energy integration. Education: B.Sc. in Electrical and Computer Engineering, University of Tehran, Tehran, Iran (2007) Ph.D. in Electrical and Computer Engineering, University of Texas at Dallas, TX (2012) Dr. Shamsi's research spans several critical areas in modern power systems, with primary focus on smart grids, microgrid stability assessment, energy management systems, and advanced power conversion technologies. His work on switching power converters, particularly VHF/UHF dc-dc converters and motor drives, addresses key challenges in renewable energy integration and electric vehicle charging infrastructure. His research has strong practical applications in improving grid stability and enabling extreme fast charging capabilities. Analysis of Dr. Shamsi's recent publications (2021-2025) reveals a consistent research trajectory focused on high step-up DC-DC converters, with particular emphasis on innovative topologies incorporating coupled inductors, voltage multiplier cells, and soft-switching techniques. His work demonstrates strong connections between theoretical power electronics design and practical applications in photovoltaic systems, DC microgrids, and electric vehicle charging infrastructure. The research shows increasing focus on modular and extendable converter designs that can scale for different power applications while maintaining high efficiency. Dr. Shamsi is actively involved in research through the Center for Intelligent Infrastructure at Missouri S&T, where his work contributes to advancing power conversion technologies for modern energy systems. His research has direct applications in renewable energy integration, grid stability enhancement, and next-generation charging infrastructure.

Mateja NovakView profile

Assistant Professor

• Model Predictive Control
• Power Electronics
• Multilevel Converters
• +6 more

Mateja Novak is an Assistant Professor at AAU Energy, Aalborg University, Denmark, within the Department of Applied Power Electronic Systems under the Faculty of Engineering and Science. Her research focuses on model predictive control, multilevel converters, machine learning, and reliability of power electronic systems, contributing to sustainable energy systems and renewable energy integration. She holds a Ph.D. from Aalborg University (2020) and an M.Sc. from Zagreb University (2014). Previously, she was a Postdoc at AAU Energy (2020-2023) and a visiting researcher at Kiel University (2018) and Danfoss (2023). Notable achievements include the EPE Outstanding Young EPE Member Award (2019) and 2nd place in the 2021 IEEE-IES Student and YP Competition. Her work spans projects like ALL2GaN (2023-2026) and AI-Power (2022-2027), addressing GaN IC solutions and AI-driven power electronics advancements. She is actively involved with IEEE societies including the Power Electronics Society and IEEE Women in Engineering. Her research outputs emphasize control strategies for power electronics, reliability analysis, and optimization techniques. Key areas of exploration include thermal stress balancing in converters, statistical model checking, and multiobjective control algorithms. Collaborations with industry partners like Danfoss and academic institutions like Kiel University underscore her interdisciplinary approach to advancing power electronics technology.

• Renewable Power and Energy Systems Engineering
• Power and Energy Systems Engineering
• Inverter-Based Resources (IBR)
• +3 more

Tim Green is a Professor and Head of the Department of Electrical and Electronic Engineering at Imperial College London, part of the Faculty of Engineering. His research focuses on developing zero-carbon electricity systems dominated by renewable energy and inverter-based resources (IBR). He leads initiatives in grid stability, fault detection, and control innovations to ensure reliable energy systems. His work bridges physics-led and data-led modeling approaches to address challenges in frequency and voltage regulation. Education: PhD from Heriot-Watt University (1990) and BSc from Imperial College London (1986). Affiliations: Energy Futures Lab, Control and Power Research Group. Research interests include renewable power systems, grid resilience, and inverter-driven oscillations. His projects are funded by EPSRC, National Energy System Operator, and Hitachi Energy. He teaches power engineering modules and mentors postdoctoral researchers and PhD students. Awards include Fellowships from the Royal Academy of Engineering, IEEE, IET, and the Chinese Society for Electrical Engineering.

Levy F. CostaView profile

Assistant Professor

• High Power Electronics
• Modular Converter Design
• Solid-State Transformers
• +3 more

Levy F. Costa is an Assistant Professor in the Electromechanics and Power Electronics group at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e). He holds a PhD in Electrical Engineering from Kiel University (2019), an M.Sc. from the Federal University of Santa Catarina (2013), and a B.Sc. from the Federal University of Ceara (2010). His expertise spans high-power electronics, modular converter designs, and solid-state transformers for industrial and renewable energy systems. Academic Background: B.Sc., Federal University of Ceara (2010) M.Sc., Federal University of Santa Catarina (2013) PhD, Christian-Albrechts University of Kiel (2019) His research focuses on advancing high-efficiency power converter topologies, with specific emphasis on solid-state transformers and DC-DC converters. Recent work explores modular multilevel converter architectures, resonant converter designs for electrolyzer power supplies, and semiconductor material trade-offs in three-level resonant converters. He also investigates constrained power flow control strategies for grid-tied converters. Key projects include RelSST (Reliable Solid-State Transformer for Smart Grids) and HiVECAF (Highly Versatile Efficient & Compact Active Filters), addressing challenges in power electronics reliability, compactness, and control algorithms. Collaborations span institutions in Brazil, Germany, Switzerland, and the Netherlands. His publications highlight innovations in modular converter designs, semiconductor optimization, and power flow control for renewable energy integration. Current research aligns with UN Sustainable Development Goals related to clean energy and climate action, focusing on technologies to enhance grid stability and energy efficiency.

Raif BAYIRView profile

Professor

• Robotics
• Hybrid and Electric Vehicles
• Artificial Intelligence
• +3 more

Prof. Dr. Raif Bayır is a Turkish academic at Karabük University's College of Engineering, Department of Mechatronics Engineering. With a career spanning 2000-2024, he has held continuous full-time faculty positions from Assistant Professor to Professor. His research focuses on Robotics, Hybrid/Electric Vehicles, and Artificial Intelligence. Doctorate: Gazi University (2005) - Electronics & Computer Education Postgraduate: Gazi University (1998) - Electronics & Computer Education Undergraduate: Gazi University (1995) - Electronics & Computer Education His work integrates Artificial Intelligence techniques into Electric Vehicle systems, Robotics, and Agricultural Engineering applications. Recent publications emphasize Deep Learning for Mask Detection, Real-Time Battery Monitoring, and Autonomous Navigation Systems. Scientific awards include: 2017 METU Line-Following Robot 1st Prize 2016 TÜBİTAK Domestic Product Award 2015 TÜBİTAK Electromobil Best Design Prize He has advised over 20 graduate theses on topics spanning Electric Vehicle Components, Beehive Monitoring Systems, and Intelligent Control Applications. His research teams have developed multiple TÜBİTAK-supported projects including Automotive Test Stands and Battery Management Systems.